396 research outputs found

    Sensing Movement: Microsensors for Body Motion Measurement

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    Recognition of body posture and motion is an important physiological function that can keep the body in balance. Man-made motion sensors have also been widely applied for a broad array of biomedical applications including diagnosis of balance disorders and evaluation of energy expenditure. This paper reviews the state-of-the-art sensing components utilized for body motion measurement. The anatomy and working principles of a natural body motion sensor, the human vestibular system, are first described. Various man-made inertial sensors are then elaborated based on their distinctive sensing mechanisms. In particular, both the conventional solid-state motion sensors and the emerging non solid-state motion sensors are depicted. With their lower cost and increased intelligence, man-made motion sensors are expected to play an increasingly important role in biomedical systems for basic research as well as clinical diagnostics

    A miniaturized endocardial electromagnetic energy harvester for leadless cardiac pacemakers

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    Life expectancy of contemporary cardiac pacemakers is limited due to the use of an internal primary battery. Repeated device replacement interventions are necessary, which leads to an elevated risk for patients and an increase of health care costs. The aim of our study is to investigate the feasibility of powering an endocardial pacemaker by converting a minimal amount of the heart's kinetic energy into electric energy. The intrinsic cardiac muscle activity makes it an ideal candidate as continuous source of energy for endocardial pacemakers. For this reason, we developed a prototype able to generate enough power to supply a pacing circuit at different heart rates. The prototype consists of a mass imbalance that drives an electromagnetic generator while oscillating. We developed a mathematical model to estimate the amount of energy harvested from the right ventricle. Finally, the implemented prototype was successfully tested during in-vitro and in-vivo experiments

    A three-axis accelerometer for measuring heart wall motion

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    This thesis presents the work carried out in the design, simulation, fabrication and testing of miniaturised three-axis accelerometers. The work was carried out at the Faculty of Science and Engineering at Vestfold University College (TĂžnsberg, Norway), the MIcroSystems Engineering Centre (MISEC) at Heriot-Watt University and in collaboration with the Interventional Centre at Rikshospitalet University Hospital (Oslo, Norway). The accelerometers presented in this thesis were produced to be stitched to the surface of human hearts. In doing so they are used to measure the heart wall motion of patients that have just undergone heart bypass surgery. Results from studies carried out are presented and prove the concept of using such sensors for the detection of problems that can lead to the failure of heart bypasses. These studies were made possible using commercially available MEMS (MicroElectroMechanical Systems) three-axis accelerometers. However, the overall size of these sensors does not meet the requirements deemed necessary by the medical team (2(W) 2(H) 5(L) mm3) and fabrication activities were necessary to produce custom-made sensors. Design verification and performance modelling were carried out using Finite Element Analysis (FEA) and these results are presented alongside relevant analytical calculations. For fabrication, accelerometer designs were submitted to three foundry processes during the course of the work. The designs utilise the piezoresistive effect for the acceleration sensing and fabrication was carried out by bulk micromachining. Results of the characterisaton of the sensors are presente

    Multidimensional embedded MEMS motion detectors for wearable mechanocardiography and 4D medical imaging

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    Background: Cardiovascular diseases are the number one cause of death. Of these deaths, almost 80% are due to coronary artery disease (CAD) and cerebrovascular disease. Multidimensional microelectromechanical systems (MEMS) sensors allow measuring the mechanical movement of the heart muscle offering an entirely new and innovative solution to evaluate cardiac rhythm and function. Recent advances in miniaturized motion sensors present an exciting opportunity to study novel device-driven and functional motion detection systems in the areas of both cardiac monitoring and biomedical imaging, for example, in computed tomography (CT) and positron emission tomography (PET). Methods: This Ph.D. work describes a new cardiac motion detection paradigm and measurement technology based on multimodal measuring tools — by tracking the heart’s kinetic activity using micro-sized MEMS sensors — and novel computational approaches — by deploying signal processing and machine learning techniques—for detecting cardiac pathological disorders. In particular, this study focuses on the capability of joint gyrocardiography (GCG) and seismocardiography (SCG) techniques that constitute the mechanocardiography (MCG) concept representing the mechanical characteristics of the cardiac precordial surface vibrations. Results: Experimental analyses showed that integrating multisource sensory data resulted in precise estimation of heart rate with an accuracy of 99% (healthy, n=29), detection of heart arrhythmia (n=435) with an accuracy of 95-97%, ischemic disease indication with approximately 75% accuracy (n=22), as well as significantly improved quality of four-dimensional (4D) cardiac PET images by eliminating motion related inaccuracies using MEMS dual gating approach. Tissue Doppler imaging (TDI) analysis of GCG (healthy, n=9) showed promising results for measuring the cardiac timing intervals and myocardial deformation changes. Conclusion: The findings of this study demonstrate clinical potential of MEMS motion sensors in cardiology that may facilitate in time diagnosis of cardiac abnormalities. Multidimensional MCG can effectively contribute to detecting atrial fibrillation (AFib), myocardial infarction (MI), and CAD. Additionally, MEMS motion sensing improves the reliability and quality of cardiac PET imaging.Moniulotteisten sulautettujen MEMS-liiketunnistimien kĂ€yttö sydĂ€nkardiografiassa sekĂ€ lÀÀketieteellisessĂ€ 4D-kuvantamisessa Tausta: SydĂ€n- ja verisuonitaudit ovat yleisin kuolinsyy. NĂ€istĂ€ kuolemantapauksista lĂ€hes 80% johtuu sepelvaltimotaudista (CAD) ja aivoverenkierron hĂ€iriöistĂ€. Moniulotteiset mikroelektromekaaniset jĂ€rjestelmĂ€t (MEMS) mahdollistavat sydĂ€nlihaksen mekaanisen liikkeen mittaamisen, mikĂ€ puolestaan tarjoaa tĂ€ysin uudenlaisen ja innovatiivisen ratkaisun sydĂ€men rytmin ja toiminnan arvioimiseksi. Viimeaikaiset teknologiset edistysaskeleet mahdollistavat uusien pienikokoisten liiketunnistusjĂ€rjestelmien kĂ€yttĂ€misen sydĂ€men toiminnan tutkimuksessa sekĂ€ lÀÀketieteellisen kuvantamisen, kuten esimerkiksi tietokonetomografian (CT) ja positroniemissiotomografian (PET), tarkkuuden parantamisessa. MenetelmĂ€t: TĂ€mĂ€ vĂ€itöskirjatyö esittelee uuden sydĂ€men kineettisen toiminnan mittaustekniikan, joka pohjautuu MEMS-anturien kĂ€yttöön. Uudet laskennalliset lĂ€hestymistavat, jotka perustuvat signaalinkĂ€sittelyyn ja koneoppimiseen, mahdollistavat sydĂ€men patologisten hĂ€iriöiden havaitsemisen MEMS-antureista saatavista signaaleista. TĂ€ssĂ€ tutkimuksessa keskitytÀÀn erityisesti mekanokardiografiaan (MCG), joihin kuuluvat gyrokardiografia (GCG) ja seismokardiografia (SCG). NĂ€iden tekniikoiden avulla voidaan mitata kardiorespiratorisen jĂ€rjestelmĂ€n mekaanisia ominaisuuksia. Tulokset: Kokeelliset analyysit osoittivat, ettĂ€ integroimalla usean sensorin dataa voidaan mitata syketiheyttĂ€ 99% (terveillĂ€ n=29) tarkkuudella, havaita sydĂ€men rytmihĂ€iriöt (n=435) 95-97%, tarkkuudella, sekĂ€ havaita iskeeminen sairaus noin 75% tarkkuudella (n=22). LisĂ€ksi MEMS-kaksoistahdistuksen avulla voidaan parantaa sydĂ€men 4D PET-kuvan laatua, kun liikeepĂ€tarkkuudet voidaan eliminoida paremmin. Doppler-kuvantamisessa (TDI, Tissue Doppler Imaging) GCG-analyysi (terveillĂ€, n=9) osoitti lupaavia tuloksia sydĂ€nsykkeen ajoituksen ja intervallien sekĂ€ sydĂ€nlihasmuutosten mittaamisessa. PÀÀtelmĂ€: TĂ€mĂ€n tutkimuksen tulokset osoittavat, ettĂ€ kardiologisilla MEMS-liikeantureilla on kliinistĂ€ potentiaalia sydĂ€men toiminnallisten poikkeavuuksien diagnostisoinnissa. Moniuloitteinen MCG voi edistÀÀ eteisvĂ€rinĂ€n (AFib), sydĂ€ninfarktin (MI) ja CAD:n havaitsemista. LisĂ€ksi MEMS-liiketunnistus parantaa sydĂ€men PET-kuvantamisen luotettavuutta ja laatua

    A study on the effect of contact pressure during physical activity on photoplethysmographic heart rate measurements

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    Heart rate (HR) as an important physiological indicator could properly describe global subject’s physical status. Photoplethysmographic (PPG) sensors are catching on in field of wearable sensors, combining the advantages in costs, weight and size. Nevertheless, accuracy in HR readings is unreliable specifically during physical activity. Among several identified sources that affect PPG recording, contact pressure (CP) between the PPG sensor and skin greatly influences the signals. Methods: In this study, the accuracy of HR measurements of a PPG sensor at different CP was investigated when compared with a commercial ECG-based chest strap used as a test control, with the aim of determining the optimal CP to produce a reliable signal during physical activity. Seventeen subjects were enrolled for the study to perform a physical activity at three different rates repeated at three different contact pressures of the PPG-based wristband. Results: The results show that the CP of 54 mmHg provides the most accurate outcome with a Pearson correlation coefficient ranging from 0.81 to 0.95 and a mean average percentage error ranging from 3.8% to 2.4%, based on the physical activity rate. Conclusion: Authors found that changes in the CP have greater effects on PPG-HR signal quality than those deriving from the intensity of the physical activity and specifically, the individual best CP for each subject provided reliable HR measurements even for a high intensity of physical exercise with a Bland–Altman plot within ±11 bpm. Although future studies on a larger cohort of subjects are still needed, this study could contribute a profitable indication to enhance accuracy of PPG-based wearable devices

    Synchronous wearable wireless body sensor network composed of autonomous textile nodes

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    A novel, fully-autonomous, wearable, wireless sensor network is presented, where each flexible textile node performs cooperative synchronous acquisition and distributed event detection. Computationally efficient situational-awareness algorithms are implemented on the low-power microcontroller present on each flexible node. The detected events are wirelessly transmitted to a base station, directly, as well as forwarded by other on-body nodes. For each node, a dual-polarized textile patch antenna serves as a platform for the flexible electronic circuitry. Therefore, the system is particularly suitable for comfortable and unobtrusive integration into garments. In the meantime, polarization diversity can be exploited to improve the reliability and energy-efficiency of the wireless transmission. Extensive experiments in realistic conditions have demonstrated that this new autonomous, body-centric, textile-antenna, wireless sensor network is able to correctly detect different operating conditions of a firefighter during an intervention. By relying on four network nodes integrated into the protective garment, this functionality is implemented locally, on the body, and in real time. In addition, the received sensor data are reliably transferred to a central access point at the command post, for more detailed and more comprehensive real-time visualization. This information provides coordinators and commanders with situational awareness of the entire rescue operation. A statistical analysis of measured on-body node-to-node, as well as off-body person-to-person channels is included, confirming the reliability of the communication system

    High-Performance Accelerometer Based On Asymmetric Gapped Cantilevers For Physiological Acoustic Sensing

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    Continuous or mobile monitoring of physiological sounds is expected to play important role in the emerging mobile healthcare field. Because of the miniature size, low cost, and easy installation, accelerometer is an excellent choice for continuous physiological acoustic signal monitoring. However, in order to capture the detailed information in the physiological signals for clinical diagnostic purpose, there are more demanding requirements on the sensitivity/noise performance of accelerometers. In this thesis, a unique piezoelectric accelerometer based on the asymmetric gapped cantilever which exhibits significantly improved sensitivity is extensively studied. A meso-scale prototype is developed for capturing the high quality cardio and respiratory sounds on healthy people as well as on heart failure patients. A cascaded gapped cantilever based accelerometer is also explored for low frequency vibration sensing applications such as ballistocardiogram monitoring. Finally, to address the power issues of wireless sensors such as wireless wearable health monitors, a wide band vibration energy harvester based on a folded gapped cantilever is developed and demonstrated on a ceiling air condition unit

    Vertical polymer tunneling sensor platform by hot embossing technique

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    Recent development in microfabrication technology has brought much attention to the development of miniaturized, inexpensive and high-accuracy MEMS devices and microsystems. The ultimate goal of our project is to develop a versatile, three-dimensional, high precision sensor platform, which can be used for displacement, velocity or acceleration measurement. The first step, on which this dissertation is based, is to fabricate a one-dimensional (parallel with the Z axis) tunneling sensor, which in turn can be developed into two- and three-dimensional sensor platforms through structural and functional integration. Since the invention of mini-structured high-sensitivity silicon-based tunneling sensor in 1993, the synthesis and fabrication of PMMA-based tunneling sensors still remains an over-looked area. Compared with traditional silicon-based tunneling sensors, PMMA is less expensive, has little stiffness, and is easier to work with micro-machining process. Moreover, this all-PMMA-based tunneling sensor is one of the first generations of functional micro-sensors/devices for organic compatible applications. The hot embossing technique, one of the most widely used micromachining approaches in “soft-lithography”, was chosen for its fast turnaround, fewer processing parameters, and simplicity. Because the mold can be used repeatedly, the potential of mass-production is further highlighted in this dissertation. All-PMMA-based tunneling vertical sensors have been successfully fabricated. The overall size of the packaged sensor is 8 mm x 8 mm x 1 mm, with the measurement circuits bounded together. The natural frequency of the sensor structure is 133 Hz. The bandwidth of the feedback system is 6.3 kHz with voltage over acceleration sensitivity of 20.6 V/g. The resolution at 192 Hz is 0.2485 ÎŒg/[special characters omitted]. Compared with the silicon-based tunneling sensor, the PMMA sensor\u27s apparent advantages are: low cost, less processing time, less processing instruments, high yields, wider bandwidth, and theoretically lower noise level. Given all our research results, we can expect that the PMMA-based tunneling sensor platform to become the base for the next generation of highly sensitive micro-sensors in many important areas, notably in chemical, magnetic, infrared, and organic applications

    Southwest Research Institute assistance to NASA in biomedical areas of the technology

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    Significant applications of aerospace technology were achieved. These applications include: a miniaturized, noninvasive system to telemeter electrocardiographic signals of heart transplant patients during their recuperative period as graded situations are introduced; and economical vital signs monitor for use in nursing homes and rehabilitation hospitals to indicate the onset of respiratory arrest; an implantable telemetry system to indicate the onset of the rejection phenomenon in animals undergoing cardiac transplants; an exceptionally accurate current proportional temperature controller for pollution studies; an automatic, atraumatic blood pressure measurement device; materials for protecting burned areas in contact with joint bender splints; a detector to signal the passage of animals by a given point during ecology studies; and special cushioning for use with below-knee amputees to protect the integrity of the skin at the stump/prosthesis interface
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